<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Research on BMN Lab</title><link>https://bmnlab.github.io/research/</link><description>Recent content in Research on BMN Lab</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 BMN Lab</copyright><atom:link href="https://bmnlab.github.io/research/index.xml" rel="self" type="application/rss+xml"/><item><title>Data Harmonization</title><link>https://bmnlab.github.io/research/harmonization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://bmnlab.github.io/research/harmonization/</guid><description>Developing computational methods to remove scanner-specific biases and harmonize multi-site neuroimaging datasets.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://bmnlab.github.io/research/harmonization/featured.png"/></item><item><title>Image Registration</title><link>https://bmnlab.github.io/research/registration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://bmnlab.github.io/research/registration/</guid><description>Advanced algorithms for precise spatial alignment of brain images across different subjects and modalities.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://bmnlab.github.io/research/registration/featured.png"/></item></channel></rss>